| Vol-2736 urn:nbn:de:0074-2736-7 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# CSW 2020
Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation

### Proceedings of the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation
co-located with 34th Conference on Neural Information Processing Systems (NeurIPS 2020)

### Vancouver, BC, Canada (Online), December 11, 2020.

Edited by

### Dmitry Ustalov *
Fabio Casati **
Alexey Drutsa ***
Daria Baidakova ***

* Yandex, 195027 Saint Petersburg, Russia
** ServiceNow, 2225 Santa Clara, California, USA
*** Yandex, 119021 Moscow, Russia

## Table of Contents

- Preface
  Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 6 as regular papers, 0 as short papers and 1 as a non-archival talk.

- Conversational Crowdsourcing 1-6
  Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon, Geert-Jan Houben
- What Can Crowd Computing Do for the Next Generation of AI Systems? 7-13
  Ujwal Gadiraju, Jie Yang
- Real-Time Crowdsourcing of Health Data in a Low-Income Country: A Case Study of Human Data Supply on Malaria First-Line Treatment Policy Tracking in Nigeria 14-18
  Olubayo Adekanmbi, Wuraola Fisayo Oyewusi, Ezekiel Ogundepo
- Active Learning from Crowd in Document Screening 19-25
  Evgeny Krivosheev, Burcu Sayin, Alessandro Bozzon, Zoltán Szlávik
- Human Computation Requires and Enables a New Approach to Ethics 26-33
  Libuše H. Vepřek, Patricia Seymour, Pietro Michelucci
- A Gamified Crowdsourcing Framework for Data-Driven Co-Creation of Policy Making and Social Foresight 34-44
  Andrea Tocchetti, Marco Brambilla

2020-12-09: submitted by Dmitry Ustalov, metadata incl. bibliographic data published under Creative Commons CC0
2020-12-12: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|